lint

lint is a command for coding agents from ruslan-korneev/claude-plugins. It costs 16 tokens per session (451 once invoked), scanned A, original, MIT.

A command that runs Ruff, a Python tool that checks code for style problems, possible bugs, complexity, security issues, and library-specific errors.

In plain words
What is it for?
Use it to check a specified path or the current project, review errors by category, and decide how to fix them.
Why use it?
It groups linting results so you can see what is wrong, which issues can be fixed automatically, and which need manual changes.

Command

Part of the python plugin — 4 skills, 10 commands, 1 agent, 1 hook shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/ruslan-korneev/claude-plugins/lint
Clone the repo
git clone --depth 1 https://github.com/ruslan-korneev/claude-plugins

Or install python, the plugin that ships this one along with the rest of its 4 skills, 10 commands, 1 agent, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lint

README.md
[![agentmods](https://agentmods.dev/badge/commands/ruslan-korneev/claude-plugins/lint.svg)](https://agentmods.dev/commands/ruslan-korneev/claude-plugins/lint)
Your own site
<a href="https://agentmods.dev/commands/ruslan-korneev/claude-plugins/lint"><img src="https://agentmods.dev/badge/commands/ruslan-korneev/claude-plugins/lint.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 451 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00016 $0.00451
Opus 5 $0.00008 $0.00226
Sonnet 5 $0.00003 $0.00090
Haiku 4.5 $0.00002 $0.00045

Measured 4d ago against content hash a9f0ed8538d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lint scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/python/commands/lint.md · 69 lines

What it actually says

Command /lint:check

Run Python code analysis using ruff.

Instructions

  1. Run ruff check for the specified path (or current directory if no path is specified):

    ruff check {{ path | default: "." }} --output-format=grouped
    
  2. Analyze the result and group errors by category:

    • Style errors (E, W): formatting, whitespace, line length
    • Potential bugs (F): unused imports, variables, syntax errors
    • Code complexity (C): cognitive complexity, nesting
    • Security (S): potential vulnerabilities
    • Library-specific (B, UP, etc.)
  3. For each error group:

    • Show the error count
    • Provide examples with line numbers
    • Suggest a fix strategy
  4. IMPORTANT: NEVER suggest # noqa as a solution!

    • Every ruff error has a proper solution
    • If the user asks about a specific error, use /lint:explain

Output Format

## Ruff Check Results

### Errors found: X

#### Style errors (E/W): N
- E501: Lines too long (5 files)
- W291: Trailing whitespace (2 files)

#### Potential bugs (F): N
- F401: Unused imports (3 files)
- F841: Unused variables (1 file)

### Auto-fixable
Run `ruff check --fix` to automatically fix X errors.

### Require manual fix
- E501 in src/services/user.py:45 - split into multiple lines
- ...

Additional Flags

If the user wants more detailed output:

  • --statistics - show statistics by rules
  • --show-fixes - show which fixes can be applied automatically
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 69 lines · 16 tokens per session scan A a9f0ed8538d7

Subscribe to this mod's changes

lint is a command published in the GitHub repository ruslan-korneev/claude-plugins (4 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 451 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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